METHOD AND SYSTEM FOR MAPPING TISSUE STATUS OF ACUTE STROKE

    公开(公告)号:EP2375969B1

    公开(公告)日:2019-09-04

    申请号:EP09825821.3

    申请日:2009-11-13

    发明人: YANG, Qing

    摘要: The current invention provides a method of identifying a ischemic lesion. The method includes loading perfusion imaging data into an electronic memory element and deriving perfusion maps from the perfusion imaging data, where the perfusion maps include a cerebral blood volume (CBV) map and an arterial delay time (DT) map, which utilize arterial delay and dispersion effects. Ischemic pixels are determined from the perfusion imaging data, where the DT is greater than a predetermined first threshold value and the CBV is below a second threshold value and the infarct portion of the ischemic lesion is determined, where DT is greater than a predetermined third threshold value and/or the CBV is below a forth threshold value. A cluster analysis is applied to all of the determined ischemic lesion and infarct pixels and the penumbra is then determined, where mismatch regions between the ischemic lesion and the infarct core define the penumbra.

    METHOD AND APPARATUS FOR FULLY AUTOMATED SEGMENTATION OF JOINT USING PATIENT-SPECIFIC OPTIMAL THRESHOLDING AND WATERSHED ALGORITHM

    公开(公告)号:EP3457356A1

    公开(公告)日:2019-03-20

    申请号:EP18150315.2

    申请日:2018-01-04

    IPC分类号: G06T7/136 G06T7/11

    摘要: Disclosed are a method and apparatus for fully automatically segmenting a joint based on a patient-specific optimal thresholding method and a watershed algorithm. The method of fully automatically segmenting an image may include the steps of extracting region information corresponding to a target object to be segmented from a medical image of the target object by associating a thresholding method and a load path algorithm, generating a first mask MASK 1 based on the extracted region information, generating a morphological patch by performing morphological subdivision on the medical image based on a watershed algorithm, generating a second mask MASK 2 based on the generated morphological patch, and segmenting an image corresponding to the target object from the medical image based on the first mask and the second mask.

    OBJECT RECOGNITION DEVICE
    118.
    发明公开

    公开(公告)号:EP3435328A1

    公开(公告)日:2019-01-30

    申请号:EP17769653.1

    申请日:2017-01-30

    IPC分类号: G06T7/136 G06T7/00 G08G1/16

    摘要: The purpose of the present invention is to obtain reliable recognition performance even in a lens which is capable of long-distance and close proximity photography. This object recognition device 1 comprises an image acquisition unit which acquires an image 1000 which includes a plurality of image regions 1001, 1002, 1003 which have differing resolutions, and a recognition processing unit which carries out a recognition process upon an object within the screen 1000. One image region 1003, among the plurality of image regions 1001, 1002, 1003 of the screen 1000, has a lower resolution than the other image regions 1001, 1002. The recognition processing unit carries out the recognition process of the object on the basis of assessment references which differ among the one image region 1003 and the other image regions 1001, 1002.

    OPTIMIZATION OF PARAMETERS FOR SEGMENTING AN IMAGE

    公开(公告)号:EP3155589B1

    公开(公告)日:2018-12-26

    申请号:EP15727017.4

    申请日:2015-06-11

    IPC分类号: G06T7/11 G06T7/194 G06T7/136

    摘要: The present invention relates to a device for segmenting an image (12) of a subject (14) comprising a data interface (16) for receiving an image (12) of said subject (14) and at least one contour (18) or at least one part of a contour (18), said contour (18) indicating a structure (19) within said image (12), a selection unit (20) for selecting a region(22) in said image (12) divided into a first and a second disjoint part (24, 26) by said contour (18) or said part of said contour (18),said selected region (22) comprising a drawn region and/or a computed region, a classifier (28) for classifying said selected region (22) based on at least one parameter for image segmentation, an analysis unit (29) for defining an objective function based on the classification result, an optimizer (30) for optimizing said parameter set by varying an output of said objective function and an image segmentation unit (32) for segmenting said image (12) using said optimized parameter set.